F. S. Movahed

CONVERGENCE ANALYSIS OF THE GLOBAL FOM AND GMRES METHODS FOR SOLVING MATRIX EQUATIONS AXB = C WITH SPD COEFFICIENTS

A. Tajaddini, A. Rivaz, M. M. Moghadam, 2015 .

Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers

Farid Saberi Movahed, Mahdi Eftekhari, Mohammad Rezaei-Ravari, 2021, Eng. Appl. Artif. Intell..

A tensor format for the generalized Hessenberg method for solving Sylvester tensor equations

Farid Saberi Movahed, Azita Tajaddini, Mohammed Heyouni, 2020, J. Comput. Appl. Math..

On the Krylov subspace methods based on tensor format for positive definite Sylvester tensor equations

Fatemeh Panjeh Ali Beik, Farid Saberi Movahed, Salman Ahmadi-Asl, 2016, Numer. Linear Algebra Appl..

Supervised feature selection by constituting a basis for the original space of features and matrix factorization

Farid Saberi Movahed, Mahdi Eftekhari, Mohammad Mohtashami, 2020, Int. J. Mach. Learn. Cybern..

On global Hessenberg based methods for solving Sylvester matrix equations

Farid Saberi Movahed, Azita Tajaddini, Mohammed Heyouni, 2019, Comput. Math. Appl..

Two New Variants of the Simpler Block GMRES Method with Vector Deflation and Eigenvalue Deflation for Multiple Linear Systems

Gang Wu, Farid Saberi Movahed, Najmeh Azizi Zadeh, 2021, J. Sci. Comput..

Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation

Farid Saberi Movahed, Mahdi Eftekhari, Mahla Mokhtia, 2021, Knowl. Based Syst..

Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation

Farid Saberi Movahed, Mahdi Eftekhari, Mahla Mokhtia, 2020, Appl. Soft Comput..